976 to 1,000 of 4,116 SQL Jobs in London

reduce manual effort, improve quality, or accelerate analysis. Configure and support approved AI tools and platform capabilities, including GenAI projects, agents, skills, knowledge bases, SQL resources, model presets, and MCP-enabled tools. Design and maintain high-quality AI context, including system instructions, prompt templates, examples, reference materials, retrieval sources, workflow … embeddings, vector search, document extraction, tool calling, agentic workflows, and human-in-the-loop review. Strong programming and data skills, including Python, SQL, and tools/libraries used in agentic development like langgraph, langchain, Pydantic models, NumPy, FastAPI/MCP, etc. Ability to work with APIs, JSON, MCPs ...

with Securitisation, Treasury, Risk, Finance, Operations, and Technology teams to translate business challenges into data-driven solutions and requirements Analyse complex securitisation data using SQL and Excel to identify trends, investigate issues, and generate actionable insights Gather, document and validate business and data requirements to support technology change and regulatory … financial services and Securitisation Technology. Strong securitisation and structured finance knowledge , with an understanding of asset classes, transaction lifecycles, and associated data flows Advanced SQL and Excel skills , with the ability to analyse, reconcile, and interpret large and complex datasets Experience translating business needs into data requirements and technology solutions ...

geospatial data models in PostGIS to support vessel tracking, route inference, port congestion, and storage/flow estimation. Write performant, well-tested Python and SQL to transform raw feeds into research- and trading-ready datasets. Engineer features and metrics (e.g., tonne-miles, floating storage, port dwell times, voyage estimates … PostGIS— proficiency with spatial queries, indexing, and geospatial data modeling. AIS datasets— hands-on familiarity with vessel-tracking data, its structure, quirks, and limitations. SQL— strong proficiency, including query optimization on large datasets. Nice-to-Haves Apache Airflow (or equivalent orchestration) for scheduling and managing pipelines. AWS experience (Azure ...

requirements and investigate production issues. These pipelines feed trading decisions directly, so the systems you build, and fix have immediate, visible impact. Alongside Python, SQL, and orchestration work, you will contribute to services and streaming infrastructure where latency, throughput, and memory usage matter. You will split your time between building … engineering, including ownership of data platforms, lakehouses, distributed systems, or backend services.- Experience with analytical databases such as Snowflake, Redshift, ClickHouse.- Strong Python and SQL skills.- Production experience with Java or Kotlin. We will also consider strong experience in another systems language.- Experience with Kafka or another streaming or near ...

capacityStrong hands-on expertise in Databricks for enterprise-scale workloadsProficiency in PySpark, Spark Structured Streaming, and Delta LakeSolid programming skills in Python and demonstrated SQL performance optimization experienceDeep understanding of Azure Data Platform services and cloud-native engineering patternsProven experience implementing data governance, quality management and observability frameworksAbility to manage ...

across teams. What you bring: 5+ years in analytics engineering or data engineering with a strong focus on data modelingStrong proficiency in dbt and SQL- building modular, well-tested modelsSolid understanding of dimensional modeling and metric designExperience working with cloud data warehouses (BigQuery, Snowflake, or Redshift)Experience with metrics/ ...

from predefined designs and maintaining consistent reporting standards. Strong communication and stakeholder engagement skills. Required Skills Power BI DAX Semantic Modelling Power Query Databricks SQL Data Visualisation Desirable Experience Azure Databricks/Lakehouse environments Power BI Service Deployment pipelines/DevOps Large‐scale enterprise reporting programmes Microsoft Fabric #J ...

broader SA communityWhat We Look For4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting roleProficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stageHands-on experience designing and implementing data solutions … discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present a live solution during the interviewBachelor's or Master's degree in Computer Science, Engineering ...

broader SA communityWhat We Look For4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting roleProficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live coding is a required interview stageHands-on experience designing and implementing data solutions … discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present a live solution during the interviewBachelor's or Master's degree in Computer Science, Engineering ...

broader SA communityWhat We Look For4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting roleProficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live coding is a required interview stageHands-on experience designing and implementing data solutions … discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present a live solution during the interviewBachelor's or Master's degree in Computer Science, Engineering ...

broader SA communityWhat We Look For4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting roleProficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live coding is a required interview stageHands-on experience designing and implementing data solutions … discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present a live solution during the interviewBachelor's or Master's degree in Computer Science, Engineering ...

What We Look For 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands‐on consulting role Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production‐quality code — live coding is a required interview stage Hands‐on experience designing and implementing data … whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skills — you will build and present a live solution during the interview Bachelor's or Master's degree in Computer ...

deployment pipelines Solid foundations and understanding of production‐grade, cloud‐native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM‐based systems Ability to work with ambiguity and optimise non‐deterministic systems through a process of experimentation and evaluation ...

Design, configure, and maintain Azure serverless components, including Azure Functions, Function Apps, App Service Plans, scaling models, host processes, and environment lifecycles Oversee Azure SQL Databases and Managed Instances, including availability, firewalls, private endpoints, Entra ID integration, performance monitoring, backups, and recovery readiness Manage certificates and secrets across Azure workloads … experience with Microsoft Azure serverless and PaaS services, including Azure Functions, Function Apps, App Service Plans, and related hosting models Experience administering Azure SQL Database and/or Managed Instance, including access controls, private connectivity, resource tiering, backup and recovery, and performance optimisation Experience with infrastructure as code, including Terraform ...

What We Look For 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code - live coding is a required interview stage Hands-on experience designing and implementing data … whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skills - you will build and present a live solution during the interview Bachelor's or Master's degree in Computer ...

Oracle Autonomous Data Warehouse (ADW) and a strong understanding of Oracle Fusion data structures. Strong technical capability across data modelling, ETL/ELT processes, SQL optimisation and analytics engineering. Proven experience collaborating with Data Scientists, AI Engineers and/or Machine Learning Engineers to support the development and delivery ...

clear, actionable recommendations that enable clients to make improved business decisions and enhance profitability. Technical Expertise: Employing data mining tools and programming languages (Python & SQL) to prepare and analyse data for critical business decision-making. Solution Development: Collaborating to design and deliver robust analytical and commercial solutions for both internal … aptitude and a proactive approach: A relevant numerical degree, achieving a 2:1 or higher. Proven experience in programming languages such as Python and SQL, ideally applied within a credit risk environment. An innovative mindset, coupled with meticulous attention to detail. Excellent written and verbal communication skills, with the ability ...

would still defend. Senior-level SQL. Complex, clean, and performant, with a clear view of what your queries cost. There is a live SQL exercise in the process. What matters most Technical skill gets you into the process. Business understanding is what distinguishes candidates. You understand how systems interact commercially … education helps, but no particular discipline is required. Interview Process Three stages: a technical and behavioural conversation with the Head of Data including live SQL a session with leads from the teams you would work alongside a conversation on judgement and reasoning What's in it for you: 30 days ...

teams. Responsibilities Provide support for internal and external customers Manage work requests that describe issues, software bugs or customer problems Develop appropriate fixes or SQL scripts to resolve customer problems, or identify existing scripts or patches that must be applied Provide general process analysis and make recommendations for improvements Participate … implementation. Qualifications Bachelor's degree preferably in Computer Science, Information Systems or Life Sciences, or equivalent engineering experience Experience with API/web services. SQL experience querying and modifying data using MYSQL, MS SQL Server, MongoDB, Snowflake Experience with C#, Javascript, Visual Studio, Ruby, Python and ASP.NET Experience using Incident ...

have shipped and run - not remained on paper. Deep expertise in data modelling, warehouse/lakehouse design, and data governance. Hands-on background in SQL and Python, and fluency with at least one major cloud provider (AWS or Azure) and modern data platforms (e.g. Snowflake, Databricks). System‐level judgement ...

about how this craft is changing. The way we build is shifting: AI tools now handle a lot of the heavy lifting of writing SQL and boilerplate, which means the job is increasingly less about typing code and more about understanding the business problem, specifying what "good" looks like … assisted development to move faster, spending less time hand-writing boilerplate and more time specifying intent, reviewing, and refining Read, debug, and critically review SQL (including AI-generated code), so we ship models we can trust Document modelling decisions, trade-offs, and outcomes clearly Wrangle and integrate data from multiple ...

/CD pipelines, DevOps and automation LLM integration, evaluation and performance optimisation Secure application development and observability Experience with Terraform, GitOps, Kong API Gateway, SQL/NoSQL databases and AI evaluation tools such as Promptfoo or Arize would also be useful. Previous experience working within financial services, insurance or other ...

/CD pipelines, DevOps and automation LLM integration, evaluation and performance optimisation Secure application development and observability Experience with Terraform, GitOps, Kong API Gateway, SQL/NoSQL databases and AI evaluation tools such as Promptfoo or Arize would also be useful. Previous experience working within financial services, insurance or other ...

APIs, Prometheus, or Azure Monitor. Maintain best practices for data engineering performance, testing, and documentation. Technical Skills Required Strong proficiency with Databricks, Apache Spark (SQL, PySpark, Scala), and Delta Lake. Deep understanding of Spark execution plans, shuffle optimization, and data partitioning strategies. Experience tuning job configurations (e.g., memory management, parallelism ...

Learning, Generative AI models and Agentic AI frameworks in client-facing environments, including data engineering in cloud environments. Strong Python (3.10+), TypeScript, JavaScript (ES6+), SQL and Bash. Front-end: React.js, Next.js (App Router & Server Components), Tailwind CSS, ShadCN UI, Redux, Zustand, Jest, Cypress plus AI product UX patterns such … running tasks and error recovery. Back-end: Django (5.x+), DRF, FastAPI, Pydantic, Celery, Django Channels, Flask and RESTful APIs. Databases and storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage. Cloud and DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps ...